Distributed Optimization Based on Gradient-tracking Revisited: Enhancing Convergence Rate via Surrogation

7 May 2019

Papers citing "Distributed Optimization Based on Gradient-tracking Revisited: Enhancing Convergence Rate via Surrogation"

7 / 7 papers shown

Title
Decentralized Sum-of-Nonconvex Optimization Zhuanghua Liu K. H. Low 21 0 0 04 Feb 2024
Decentralized Distributed Optimization for Saddle Point Problems Alexander Rogozin Alexander Beznosikov D. Dvinskikh D. Kovalev Pavel Dvurechensky Alexander Gasnikov 28 27 0 15 Feb 2021
PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction Haishan Ye Wei Xiong Tong Zhang 16 16 0 30 Dec 2020
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis Jinming Xu Ye Tian Ying Sun G. Scutari 36 64 0 25 Feb 2020
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks Jinming Xu Ye Tian Ying Sun G. Scutari 24 37 0 23 Oct 2019
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking -- Part II: GT-SVRG Ran Xin U. Khan S. Kar 22 8 0 08 Oct 2019
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems Hoi-To Wai Jean Lafond Anna Scaglione Eric Moulines 69 90 0 05 Dec 2016